add intel support for torch210 within pyproject.toml

[leizhenyuan]

add intel support for torch210 within pyproject.toml

[gemini-code-assist]

Summary of Changes

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This pull request expands the project's hardware compatibility by integrating support for Intel GPUs with PyTorch version 2.1.0. It achieves this by defining a new, comprehensive dependency set within the pyproject.toml file, allowing users to seamlessly install the required libraries for Intel GPU acceleration with this specific PyTorch release.

Highlights

• New Dependency Group Added: A new dependency group, intelgputorch210, has been introduced in pyproject.toml to specifically support PyTorch 2.1.0 on Intel GPUs.
• Intel GPU Support for PyTorch 2.1.0: This new group includes platform-specific wheels for pytorch_triton_xpu, torch (version 2.10.0+xpu), bitsandbytes, and torchvision (version 0.25.0+xpu) across various Python versions (3.10-3.13) and operating systems (Linux, Windows).
• Integration with Unsloth: The intelgputorch210 group also includes unsloth_zoo[intelgpu] and unsloth[huggingfacenotorch] to ensure compatibility with the Unsloth framework.

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Changelog

• pyproject.toml
  • Added a new dependency group intelgputorch210 to support PyTorch 2.1.0 on Intel GPUs.
  • Included specific pytorch_triton_xpu, torch, bitsandbytes, and torchvision wheel URLs with SHA256 hashes, conditional on Python version and platform.

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[gemini-code-assist]

Code Review

This pull request adds support for torch 2.10 on Intel GPUs by defining a new set of optional dependencies in pyproject.toml. The changes are mostly correct, but I found a critical copy-paste error in the torchvision dependencies for Windows which will break installation for Python 3.11 users. Please see the specific comment for details.

[gemini-code-assist]

There appears to be a copy-paste error in the torchvision dependencies for Windows.

• The entry for Python 3.11 (line 1022) incorrectly points to the cp312 (Python 3.12) wheel.
• The entry for Python 3.12 (line 1023) uses the same URL and hash, which is correct for this version but highlights the error on the previous line.

Please correct line 1022 to use the cp311 wheel for torchvision with its corresponding SHA256 hash.

[chatgpt-codex-connector]

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[chatgpt-codex-connector]

Point Python 3.11 torchvision marker to cp311 wheel

For the intelgputorch210 extra, the dependency guarded by python_version == '3.11' points to a torchvision wheel tagged cp312, so Windows Python 3.11 installs will try to use an incompatible wheel and fail during resolution/install. This blocks unsloth[intel-gpu-torch210] for that interpreter version even though a 3.11-specific wheel is expected in this matrix.

Useful? React with 👍 / 👎.

[danielhanchen]

Thanks!